USG, Inc.
USG, Inc.

AWS Data & AI Platform Engineer

Hybrid in Almont, CO, US • Posted 19 hours ago • Updated 19 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
8 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Platform Engineer
  • AWS
  • scalable AI platforms on AWS

Summary

Title: AWS Data & AI Platform Engineer (Bedrock | EKS | Lambda | Python)

About the Role

We’re looking for an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for a regulated financial services environment. You’ll enable generative AI and advanced analytics use cases while meeting high standards for security, compliance, reliability, and operational excellence. This is a hands-on role leading development and deployment of platform components.

Location: Charlotte, NC, Atlanta, GA, Dallas, TX, Phoenix, AZ OR "Tempe, AZ (Hybrid Onsite)

Key Responsibilities

  • Design, build, and support AI platforms on AWS using Amazon Bedrock for generative AI and model integration
  • Develop and operate containerized AI services on Amazon EKS, supporting Python-based inference and orchestration workloads
  • Build serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures
  • Implement secure cloud networking and access controls using VPC, IAM, private endpoints, and service networking
  • Integrate data services (S3, DynamoDB, messaging/streaming) to support AI pipelines and RAG-style architectures
  • Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards
  • Partner with security, architecture, and risk teams to meet financial services compliance requirements

Required Skills

  • 5+ years of experience building cloud platforms on AWS
  • Hands-on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking
  • Strong Python development experience for APIs, AI services, or automation
  • Experience designing secure, highly available, and scalable systems
  • Familiarity with regulated environments (financial services, banking, insurance, or similar)

Preferred Skills

  • Experience supporting AI/ML or generative AI platforms in production
  • Knowledge of data security, model governance, auditability, and access controls
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or CDK)
  • Exposure to CI/CD pipelines and production operations in enterprise environments

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10204540
  • Position Id: 87252-2308-1792423015
  • Posted 19 hours ago
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